| country | iso_code | date | total_vaccinations | people_vaccinated | people_fully_vaccinated | daily_vaccinations_raw | daily_vaccinations | total_vaccinations_per_hundred | people_vaccinated_per_hundred | people_fully_vaccinated_per_hundred | daily_vaccinations_per_million | vaccines | source_name | source_website | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | AFG | 2021-02-22 | 0.0 | 0.0 | NaN | NaN | NaN | 0.0 | 0.0 | NaN | NaN | Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm... | World Health Organization | https://covid19.who.int/ |
| 1 | Afghanistan | AFG | 2021-02-23 | NaN | NaN | NaN | NaN | 1367.0 | NaN | NaN | NaN | 35.0 | Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm... | World Health Organization | https://covid19.who.int/ |
| 2 | Afghanistan | AFG | 2021-02-24 | NaN | NaN | NaN | NaN | 1367.0 | NaN | NaN | NaN | 35.0 | Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm... | World Health Organization | https://covid19.who.int/ |
| 3 | Afghanistan | AFG | 2021-02-25 | NaN | NaN | NaN | NaN | 1367.0 | NaN | NaN | NaN | 35.0 | Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm... | World Health Organization | https://covid19.who.int/ |
| 4 | Afghanistan | AFG | 2021-02-26 | NaN | NaN | NaN | NaN | 1367.0 | NaN | NaN | NaN | 35.0 | Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm... | World Health Organization | https://covid19.who.int/ |
<class 'pandas.core.frame.DataFrame'> RangeIndex: 21628 entries, 0 to 21627 Data columns (total 15 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 country 21628 non-null object 1 iso_code 21628 non-null object 2 date 21628 non-null object 3 total_vaccinations 12275 non-null float64 4 people_vaccinated 11479 non-null float64 5 people_fully_vaccinated 8967 non-null float64 6 daily_vaccinations_raw 10187 non-null float64 7 daily_vaccinations 21412 non-null float64 8 total_vaccinations_per_hundred 12275 non-null float64 9 people_vaccinated_per_hundred 11479 non-null float64 10 people_fully_vaccinated_per_hundred 8967 non-null float64 11 daily_vaccinations_per_million 21412 non-null float64 12 vaccines 21628 non-null object 13 source_name 21628 non-null object 14 source_website 21628 non-null object dtypes: float64(9), object(6) memory usage: 2.5+ MB
pandas._libs.tslibs.timestamps.Timestamp
country 0 iso_code 0 date 0 total_vaccinations 9353 people_vaccinated 10149 people_fully_vaccinated 12661 daily_vaccinations_raw 11441 daily_vaccinations 216 total_vaccinations_per_hundred 9353 people_vaccinated_per_hundred 10149 people_fully_vaccinated_per_hundred 12661 daily_vaccinations_per_million 216 vaccines 0 source_name 0 source_website 0 dtype: int64
(21628, 15)
Norway 180
Scotland 172
Canada 169
Russia 168
China 168
...
Guinea-Bissau 1
Tuvalu 1
Bonaire Sint Eustatius and Saba 1
Cook Islands 1
Turkmenistan 1
Name: country, Length: 214, dtype: int64
0
Oxford/AstraZeneca 3774 Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech 3036 Moderna, Oxford/AstraZeneca, Pfizer/BioNTech 1687 Oxford/AstraZeneca, Pfizer/BioNTech 1620 Moderna, Pfizer/BioNTech 1276 Pfizer/BioNTech 1240 Oxford/AstraZeneca, Sinopharm/Beijing 1086 Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac 1054 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V 927 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing 416 Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 404 Oxford/AstraZeneca, Sputnik V 367 Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V 338 Sinopharm/Beijing, Sputnik V 275 Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac 262 Pfizer/BioNTech, Sinopharm/Beijing 250 Sinopharm/Beijing 246 Oxford/AstraZeneca, Sinovac 243 Pfizer/BioNTech, Sinovac 238 Oxford/AstraZeneca, Sinovac, Sputnik V 189 Sputnik V 176 CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac 168 EpiVacCorona, Sputnik V 168 Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing 163 Johnson&Johnson, Moderna, Pfizer/BioNTech 162 CanSino, Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V 159 Covaxin, Oxford/AstraZeneca 157 Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V 155 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinopharm/Wuhan, Sputnik V 147 Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V 126 QazVac, Sinopharm/HayatVax, Sputnik V 121 CanSino, Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V 115 Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 106 Johnson&Johnson, Pfizer/BioNTech 105 Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V 99 Moderna, Oxford/AstraZeneca 95 Pfizer/BioNTech, Sputnik V 93 Johnson&Johnson, Moderna, Oxford/AstraZeneca, Sputnik V 90 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinovac 82 Pfizer/BioNTech, Sinovac, Sputnik V 80 Oxford/AstraZeneca, RBD-Dimer, Sputnik V 56 Moderna, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 35 Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sputnik V 24 Abdala, Soberana02 17 EpiVacCorona, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 1 Name: vaccines, dtype: int64
43
| country | var1 | |
|---|---|---|
| 0 | Afghanistan | Oxford/AstraZeneca |
| 0 | Afghanistan | Pfizer/BioNTech |
| 0 | Afghanistan | Sinopharm/Beijing |
| 1 | Afghanistan | Oxford/AstraZeneca |
| 1 | Afghanistan | Pfizer/BioNTech |
| ... | ... | ... |
| 21623 | Zimbabwe | Sinopharm/Beijing |
| 21624 | Zimbabwe | Sinopharm/Beijing |
| 21625 | Zimbabwe | Sinopharm/Beijing |
| 21626 | Zimbabwe | Sinopharm/Beijing |
| 21627 | Zimbabwe | Sinopharm/Beijing |
54329 rows × 2 columns
vaccines Oxford/AstraZeneca 3774 Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech 3036 Moderna, Oxford/AstraZeneca, Pfizer/BioNTech 1687 Oxford/AstraZeneca, Pfizer/BioNTech 1620 Moderna, Pfizer/BioNTech 1276 Pfizer/BioNTech 1240 Oxford/AstraZeneca, Sinopharm/Beijing 1086 Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac 1054 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V 927 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing 416 Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 404 Oxford/AstraZeneca, Sputnik V 367 Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V 338 Sinopharm/Beijing, Sputnik V 275 Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac 262 Pfizer/BioNTech, Sinopharm/Beijing 250 Sinopharm/Beijing 246 Oxford/AstraZeneca, Sinovac 243 Pfizer/BioNTech, Sinovac 238 Oxford/AstraZeneca, Sinovac, Sputnik V 189 Sputnik V 176 CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, Sinovac 168 EpiVacCorona, Sputnik V 168 Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing 163 Johnson&Johnson, Moderna, Pfizer/BioNTech 162 CanSino, Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V 159 Covaxin, Oxford/AstraZeneca 157 Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V 155 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinopharm/Wuhan, Sputnik V 147 Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V 126 QazVac, Sinopharm/HayatVax, Sputnik V 121 CanSino, Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V 115 Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 106 Johnson&Johnson, Pfizer/BioNTech 105 Covaxin, Oxford/AstraZeneca, Sinopharm/Beijing, Sinovac, Sputnik V 99 Moderna, Oxford/AstraZeneca 95 Pfizer/BioNTech, Sputnik V 93 Johnson&Johnson, Moderna, Oxford/AstraZeneca, Sputnik V 90 Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sinovac 82 Pfizer/BioNTech, Sinovac, Sputnik V 80 Oxford/AstraZeneca, RBD-Dimer, Sputnik V 56 Moderna, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 35 Johnson&Johnson, Moderna, Oxford/AstraZeneca, Pfizer/BioNTech, Sputnik V 24 Abdala, Soberana02 17 EpiVacCorona, Oxford/AstraZeneca, Sinopharm/Beijing, Sputnik V 1 Name: country, dtype: int64
| vaccines | country | Cantidad Registros | Vacunados promedio por fecha | |
|---|---|---|---|---|
| 0 | Abdala, Soberana02 | Cuba | 17 | 63,403.31 |
| 1 | CanSino, Oxford/AstraZeneca, Pfizer/BioNTech, ... | Mexico | 159 | 186,391.42 |
| 2 | CanSino, Oxford/AstraZeneca, Sinopharm/Beijing... | Pakistan | 115 | 48,023.38 |
| 3 | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | China | 168 | 3,606,363.98 |
| 4 | Covaxin, Oxford/AstraZeneca | Central African Republic | 20 | 934.00 |
| ... | ... | ... | ... | ... |
| 209 | Sinopharm/Beijing, Sputnik V | Kyrgyzstan | 52 | 972.98 |
| 210 | Sinopharm/Beijing, Sputnik V | Laos | 76 | 10,245.92 |
| 211 | Sputnik V | Algeria | 22 | 3,289.05 |
| 212 | Sputnik V | Guinea | 62 | 4,174.90 |
| 213 | Sputnik V | Venezuela | 92 | 3,415.09 |
214 rows × 4 columns
Index(['country', 'iso_code', 'date', 'total_vaccinations',
'people_vaccinated', 'people_fully_vaccinated',
'daily_vaccinations_raw', 'daily_vaccinations',
'total_vaccinations_per_hundred', 'people_vaccinated_per_hundred',
'people_fully_vaccinated_per_hundred', 'daily_vaccinations_per_million',
'vaccines', 'source_name', 'source_website'],
dtype='object')
| country | total_vaccinations | people_vaccinated | people_fully_vaccinated | daily_vaccinations_raw | daily_vaccinations | total_vaccinations_per_hundred | people_vaccinated_per_hundred | people_fully_vaccinated_per_hundred | daily_vaccinations_per_million | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | 3831799.0 | 3256958.0 | 574841.0 | 2859.0 | 594456.0 | 9.85 | 8.36 | 1.48 | 15285.0 |
| 1 | Albania | 24787760.0 | 6990919.0 | 3550624.0 | 552252.0 | 760906.0 | 861.34 | 242.91 | 123.37 | 264395.0 |
| 2 | Algeria | 75030.0 | 0.0 | 0.0 | 30.0 | 69070.0 | 0.17 | 0.00 | 0.00 | 1568.0 |
| 3 | Andorra | 249370.0 | 156305.0 | 31652.0 | 4802.0 | 31649.0 | 322.74 | 202.31 | 40.98 | 409618.0 |
| 4 | Angola | 5386560.0 | 4717488.0 | 669072.0 | 0.0 | 880797.0 | 16.39 | 14.35 | 2.04 | 26808.0 |
| vaccines | country | total_vaccinations | people_vaccinated | people_fully_vaccinated | daily_vaccinations_raw | daily_vaccinations | total_vaccinations_per_hundred | people_vaccinated_per_hundred | people_fully_vaccinated_per_hundred | daily_vaccinations_per_million | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Abdala, Soberana02 | Cuba | 7,972,472.00 | 7,972,472.00 | 0.00 | 196,123.00 | 1,014,453.00 | 70.41 | 70.41 | 0.00 | 89,565.00 |
| 1 | CanSino, Oxford/AstraZeneca, Pfizer/BioNTech, ... | Mexico | 1,181,930,735.00 | 842,814,629.00 | 386,252,432.00 | 25,950,934.00 | 29,449,845.00 | 916.66 | 653.69 | 299.60 | 228,412.00 |
| 2 | CanSino, Oxford/AstraZeneca, Sinopharm/Beijing... | Pakistan | 44,926,295.00 | 28,806,863.00 | 7,066,652.00 | 562,254.00 | 5,474,665.00 | 20.33 | 13.02 | 3.20 | 24,782.00 |
| 3 | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | China | 20,184,687,700.00 | 0.00 | 0.00 | 581,008,000.00 | 602,262,785.00 | 1,402.38 | 0.00 | 0.00 | 418,426.00 |
| 4 | Covaxin, Oxford/AstraZeneca | Central African Republic | 19,075.00 | 18,358.00 | 717.00 | 0.00 | 17,746.00 | 0.39 | 0.38 | 0.01 | 3,667.00 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 209 | Sinopharm/Beijing, Sputnik V | Kyrgyzstan | 128,679.00 | 67,710.00 | 6,868.00 | 205.00 | 49,622.00 | 1.97 | 1.03 | 0.10 | 7,608.00 |
| 210 | Sinopharm/Beijing, Sputnik V | Laos | 9,145,011.00 | 7,457,983.00 | 1,687,028.00 | 135,127.00 | 768,444.00 | 125.69 | 102.49 | 23.19 | 105,621.00 |
| 211 | Sputnik V | Algeria | 75,030.00 | 0.00 | 0.00 | 30.00 | 69,070.00 | 0.17 | 0.00 | 0.00 | 1,568.00 |
| 212 | Sputnik V | Guinea | 5,131,054.00 | 4,275,131.00 | 1,505,375.00 | 102,088.00 | 246,319.00 | 39.08 | 32.55 | 11.46 | 18,756.00 |
| 213 | Sputnik V | Venezuela | 690,574.00 | 690,574.00 | 0.00 | 0.00 | 310,773.00 | 2.42 | 2.42 | 0.00 | 10,935.00 |
214 rows × 11 columns
Vamos a tomar los 5 paÃses con más vacunas entregadas y analizamos su evolución temporal.
| country | total_vaccinations | |
|---|---|---|
| 0 | China | 2.018469e+10 |
| 1 | United States | 1.936835e+10 |
| 2 | India | 9.902768e+09 |
| 3 | United Kingdom | 4.406375e+09 |
| 4 | England | 3.719467e+09 |
| country | iso_code | date | total_vaccinations | people_vaccinated | people_fully_vaccinated | daily_vaccinations_raw | daily_vaccinations | total_vaccinations_per_hundred | people_vaccinated_per_hundred | people_fully_vaccinated_per_hundred | daily_vaccinations_per_million | vaccines | source_name | source_website | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3805 | China | CHN | 2020-12-15 | 1500000.0 | NaN | NaN | NaN | NaN | 0.10 | NaN | NaN | NaN | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | National Health Commission | http://www.nhc.gov.cn/xcs/yqjzqk/202106/6c7027... |
| 3806 | China | CHN | 2020-12-16 | NaN | NaN | NaN | NaN | 187500.0 | NaN | NaN | NaN | 130.0 | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | National Health Commission | http://www.nhc.gov.cn/xcs/yqjzqk/202106/6c7027... |
| 3807 | China | CHN | 2020-12-17 | NaN | NaN | NaN | NaN | 187500.0 | NaN | NaN | NaN | 130.0 | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | National Health Commission | http://www.nhc.gov.cn/xcs/yqjzqk/202106/6c7027... |
| 3808 | China | CHN | 2020-12-18 | NaN | NaN | NaN | NaN | 187500.0 | NaN | NaN | NaN | 130.0 | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | National Health Commission | http://www.nhc.gov.cn/xcs/yqjzqk/202106/6c7027... |
| 3809 | China | CHN | 2020-12-19 | NaN | NaN | NaN | NaN | 187500.0 | NaN | NaN | NaN | 130.0 | CanSino, Sinopharm/Beijing, Sinopharm/Wuhan, S... | National Health Commission | http://www.nhc.gov.cn/xcs/yqjzqk/202106/6c7027... |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 20918 | United States | USA | 2021-05-26 | 289212304.0 | 165074907.0 | 131850089.0 | 1423432.0 | 1703162.0 | 86.48 | 49.36 | 39.42 | 5093.0 | Johnson&Johnson, Moderna, Pfizer/BioNTech | Centers for Disease Control and Prevention | https://covid.cdc.gov/covid-data-tracker/#vacc... |
| 20919 | United States | USA | 2021-05-27 | 290724607.0 | 165718717.0 | 132769894.0 | 1512303.0 | 1618194.0 | 86.93 | 49.55 | 39.70 | 4838.0 | Johnson&Johnson, Moderna, Pfizer/BioNTech | Centers for Disease Control and Prevention | https://covid.cdc.gov/covid-data-tracker/#vacc... |
| 20920 | United States | USA | 2021-05-28 | 292099778.0 | 166388129.0 | 133532544.0 | 1375171.0 | 1500632.0 | 87.34 | 49.75 | 39.93 | 4487.0 | Johnson&Johnson, Moderna, Pfizer/BioNTech | Centers for Disease Control and Prevention | https://covid.cdc.gov/covid-data-tracker/#vacc... |
| 20921 | United States | USA | 2021-05-29 | 293705050.0 | 167157043.0 | 134418748.0 | 1605272.0 | 1394832.0 | 87.82 | 49.98 | 40.19 | 4171.0 | Johnson&Johnson, Moderna, Pfizer/BioNTech | Centers for Disease Control and Prevention | https://covid.cdc.gov/covid-data-tracker/#vacc... |
| 20922 | United States | USA | 2021-05-30 | 294928850.0 | 167733972.0 | 135087319.0 | 1223800.0 | 1315466.0 | 88.19 | 50.15 | 40.39 | 3933.0 | Johnson&Johnson, Moderna, Pfizer/BioNTech | Centers for Disease Control and Prevention | https://covid.cdc.gov/covid-data-tracker/#vacc... |
768 rows × 15 columns
--------------------------------------------------------------------------- TraitError Traceback (most recent call last) <ipython-input-51-10e2013bfc33> in <module> 1 # Mostramos el reporte ----> 2 profile.to_widgets() C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\profile_report.py in to_widgets(self) 412 from IPython.core.display import display 413 --> 414 display(self.widgets) 415 416 def _repr_html_(self) -> None: C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\profile_report.py in widgets(self) 195 def widgets(self) -> Renderable: 196 if self._widgets is None: --> 197 self._widgets = self._render_widgets() 198 return self._widgets 199 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\profile_report.py in _render_widgets(self) 321 leave=False, 322 ) as pbar: --> 323 widgets = WidgetReport(copy.deepcopy(report)).render() 324 pbar.update() 325 return widgets C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\root.py in render(self, **kwargs) 7 def render(self, **kwargs) -> widgets.VBox: 8 return widgets.VBox( ----> 9 [self.content["body"].render(), self.content["footer"].render()] 10 ) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in render(self) 104 widget = get_named_list(self.content["items"]) 105 elif self.sequence_type in ["tabs", "sections", "select"]: --> 106 widget = get_tabs(self.content["items"]) 107 elif self.sequence_type == "accordion": 108 widget = get_accordion(self.content["items"]) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in get_tabs(items) 18 titles = [] 19 for item in items: ---> 20 children.append(item.render()) 21 titles.append(get_name(item)) 22 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in render(self) 106 widget = get_tabs(self.content["items"]) 107 elif self.sequence_type == "accordion": --> 108 widget = get_accordion(self.content["items"]) 109 elif self.sequence_type == "grid": 110 widget = get_row(self.content["items"]) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in get_accordion(items) 87 titles = [] 88 for item in items: ---> 89 children.append(item.render()) 90 titles.append(get_name(item)) 91 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\variable.py in render(self) 8 items = [self.content["top"].render()] 9 if self.content["bottom"] is not None: ---> 10 items.append(self.content["bottom"].render()) 11 12 return widgets.VBox(items) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\collapse.py in render(self) 12 13 toggle = self.content["button"].render() ---> 14 item = self.content["item"].render() 15 16 if collapse == "correlation": C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in render(self) 104 widget = get_named_list(self.content["items"]) 105 elif self.sequence_type in ["tabs", "sections", "select"]: --> 106 widget = get_tabs(self.content["items"]) 107 elif self.sequence_type == "accordion": 108 widget = get_accordion(self.content["items"]) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in get_tabs(items) 18 titles = [] 19 for item in items: ---> 20 children.append(item.render()) 21 titles.append(get_name(item)) 22 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in render(self) 108 widget = get_accordion(self.content["items"]) 109 elif self.sequence_type == "grid": --> 110 widget = get_row(self.content["items"]) 111 elif self.sequence_type == "batch_grid": 112 widget = get_batch_grid( C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in get_row(items) 55 raise ValueError("Layout undefined for this number of columns") 56 ---> 57 return widgets.GridBox([item.render() for item in items], layout=layout) 58 59 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in <listcomp>(.0) 55 raise ValueError("Layout undefined for this number of columns") 56 ---> 57 return widgets.GridBox([item.render() for item in items], layout=layout) 58 59 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in render(self) 104 widget = get_named_list(self.content["items"]) 105 elif self.sequence_type in ["tabs", "sections", "select"]: --> 106 widget = get_tabs(self.content["items"]) 107 elif self.sequence_type == "accordion": 108 widget = get_accordion(self.content["items"]) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in get_tabs(items) 18 titles = [] 19 for item in items: ---> 20 children.append(item.render()) 21 titles.append(get_name(item)) 22 C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in render(self) 102 widget = get_list(self.content["items"]) 103 elif self.sequence_type == "named_list": --> 104 widget = get_named_list(self.content["items"]) 105 elif self.sequence_type in ["tabs", "sections", "select"]: 106 widget = get_tabs(self.content["items"]) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in get_named_list(items) 34 def get_named_list(items: List[Renderable]) -> widgets.VBox: 35 return widgets.VBox( ---> 36 [ 37 widgets.VBox( 38 [widgets.HTML(f"<strong>{get_name(item)}</strong>"), item.render()] C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\container.py in <listcomp>(.0) 36 [ 37 widgets.VBox( ---> 38 [widgets.HTML(f"<strong>{get_name(item)}</strong>"), item.render()] 39 ) 40 for item in items C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\frequency_table.py in render(self) 54 ) 55 ---> 56 return get_table(items) C:\ProgramData\Anaconda3\lib\site-packages\pandas_profiling\report\presentation\flavours\widget\frequency_table.py in get_table(items) 9 items: List[Tuple[widgets.Label, widgets.FloatProgress, widgets.Label]] 10 ) -> VBox: ---> 11 table = GridspecLayout(len(items), 3) 12 for row_id, (label, progress, count) in enumerate(items): 13 table[row_id, 0] = label C:\ProgramData\Anaconda3\lib\site-packages\ipywidgets\widgets\widget_templates.py in __init__(self, n_rows, n_columns, **kwargs) 280 def __init__(self, n_rows=None, n_columns=None, **kwargs): 281 super(GridspecLayout, self).__init__(**kwargs) --> 282 self.n_rows = n_rows 283 self.n_columns = n_columns 284 self._grid_template_areas = [['.'] * self.n_columns for i in range(self.n_rows)] C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py in __set__(self, obj, value) 583 raise TraitError('The "%s" trait is read-only.' % self.name) 584 else: --> 585 self.set(obj, value) 586 587 def _validate(self, obj, value): C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py in set(self, obj, value) 557 558 def set(self, obj, value): --> 559 new_value = self._validate(obj, value) 560 try: 561 old_value = obj._trait_values[self.name] C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py in _validate(self, obj, value) 591 value = self.validate(obj, value) 592 if obj._cross_validation_lock is False: --> 593 value = self._cross_validate(obj, value) 594 return value 595 C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py in _cross_validate(self, obj, value) 597 if self.name in obj._trait_validators: 598 proposal = Bunch({'trait': self, 'value': value, 'owner': obj}) --> 599 value = obj._trait_validators[self.name](obj, proposal) 600 elif hasattr(obj, '_%s_validate' % self.name): 601 meth_name = '_%s_validate' % self.name C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py in __call__(self, *args, **kwargs) 905 """Pass `*args` and `**kwargs` to the handler's function if it exists.""" 906 if hasattr(self, 'func'): --> 907 return self.func(*args, **kwargs) 908 else: 909 return self._init_call(*args, **kwargs) C:\ProgramData\Anaconda3\lib\site-packages\ipywidgets\widgets\widget_templates.py in _validate_integer(self, proposal) 293 if proposal['value'] > 0: 294 return proposal['value'] --> 295 raise TraitError('n_rows and n_columns must be positive integer') 296 297 def _get_indices_from_slice(self, row, column): TraitError: n_rows and n_columns must be positive integer
Collecting sweetviz Downloading sweetviz-2.1.3-py3-none-any.whl (15.1 MB) Requirement already satisfied: tqdm>=4.43.0 in c:\programdata\anaconda3\lib\site-packages (from sweetviz) (4.62.3) Requirement already satisfied: scipy>=1.3.2 in c:\programdata\anaconda3\lib\site-packages (from sweetviz) (1.5.0) Requirement already satisfied: pandas!=1.0.0,!=1.0.1,!=1.0.2,>=0.25.3 in c:\programdata\anaconda3\lib\site-packages (from sweetviz) (1.0.5) Requirement already satisfied: numpy>=1.16.0 in c:\programdata\anaconda3\lib\site-packages (from sweetviz) (1.18.5) Collecting importlib-resources>=1.2.0 Downloading importlib_resources-5.2.2-py3-none-any.whl (27 kB) Requirement already satisfied: jinja2>=2.11.1 in c:\programdata\anaconda3\lib\site-packages (from sweetviz) (2.11.2) Requirement already satisfied: matplotlib>=3.1.3 in c:\programdata\anaconda3\lib\site-packages (from sweetviz) (3.2.2) Requirement already satisfied: colorama; platform_system == "Windows" in c:\programdata\anaconda3\lib\site-packages (from tqdm>=4.43.0->sweetviz) (0.4.3) Requirement already satisfied: pytz>=2017.2 in c:\programdata\anaconda3\lib\site-packages (from pandas!=1.0.0,!=1.0.1,!=1.0.2,>=0.25.3->sweetviz) (2020.1) Requirement already satisfied: python-dateutil>=2.6.1 in c:\programdata\anaconda3\lib\site-packages (from pandas!=1.0.0,!=1.0.1,!=1.0.2,>=0.25.3->sweetviz) (2.8.1) Requirement already satisfied: zipp>=3.1.0; python_version < "3.10" in c:\programdata\anaconda3\lib\site-packages (from importlib-resources>=1.2.0->sweetviz) (3.1.0) Requirement already satisfied: MarkupSafe>=0.23 in c:\programdata\anaconda3\lib\site-packages (from jinja2>=2.11.1->sweetviz) (2.0.1) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\programdata\anaconda3\lib\site-packages (from matplotlib>=3.1.3->sweetviz) (2.4.7) Requirement already satisfied: kiwisolver>=1.0.1 in c:\programdata\anaconda3\lib\site-packages (from matplotlib>=3.1.3->sweetviz) (1.2.0) Requirement already satisfied: cycler>=0.10 in c:\programdata\anaconda3\lib\site-packages (from matplotlib>=3.1.3->sweetviz) (0.10.0) Requirement already satisfied: six>=1.5 in c:\programdata\anaconda3\lib\site-packages (from python-dateutil>=2.6.1->pandas!=1.0.0,!=1.0.1,!=1.0.2,>=0.25.3->sweetviz) (1.15.0) Installing collected packages: importlib-resources, sweetviz Successfully installed importlib-resources-5.2.2 sweetviz-2.1.3
Report SWEETVIZ_REPORT.html was generated! NOTEBOOK/COLAB USERS: the web browser MAY not pop up, regardless, the report IS saved in your notebook/colab files.
[NbConvertApp] Converting notebook Analisis.ipynb to html [NbConvertApp] Writing 7630805 bytes to Analisis.html
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\Scripts\jupyter-nbconvert-script.py", line 10, in <module>
sys.exit(main())
File "C:\ProgramData\Anaconda3\lib\site-packages\jupyter_core\application.py", line 270, in launch_instance
return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\config\application.py", line 664, in launch_instance
app.start()
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\nbconvertapp.py", line 340, in start
self.convert_notebooks()
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\nbconvertapp.py", line 500, in convert_notebooks
self.exporter = cls(config=self.config)
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\exporters\templateexporter.py", line 263, in __init__
super(TemplateExporter, self).__init__(config=config, **kw)
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\exporters\exporter.py", line 110, in __init__
self._init_preprocessors()
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\exporters\exporter.py", line 260, in _init_preprocessors
self.register_preprocessor(preprocessor)
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\exporters\exporter.py", line 226, in register_preprocessor
return self.register_preprocessor(preprocessor_cls, enabled)
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\exporters\exporter.py", line 239, in register_preprocessor
self.register_preprocessor(preprocessor(parent=self), enabled)
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\preprocessors\base.py", line 41, in __init__
super(Preprocessor, self).__init__(**kw)
File "C:\ProgramData\Anaconda3\lib\site-packages\nbconvert\utils\base.py", line 29, in __init__
super(NbConvertBase, self).__init__(**kw)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\config\configurable.py", line 84, in __init__
self.config = config
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 585, in __set__
self.set(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 574, in set
obj._notify_trait(self.name, old_value, new_value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 1134, in _notify_trait
self.notify_change(Bunch(
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 1176, in notify_change
c(change)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 819, in compatible_observer
return func(self, change)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\config\configurable.py", line 186, in _config_changed
self._load_config(change.new, traits=traits, section_names=section_names)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\config\configurable.py", line 153, in _load_config
setattr(self, name, deepcopy(config_value))
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 585, in __set__
self.set(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 559, in set
new_value = self._validate(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 591, in _validate
value = self.validate(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 2324, in validate
value = super(List, self).validate(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 2238, in validate
value = super(Container, self).validate(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 1677, in validate
self.error(obj, value)
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\traitlets.py", line 1524, in error
raise TraitError(e)
traitlets.traitlets.TraitError: The 'remove_cell_tags' trait of a TagRemovePreprocessor instance must be a set, but a value of class 'str' (i.e. 'no') was specified.